simple barplot with orient='v' - unsupported operand type(s) for /: 'str' and 'long'

Same error as closed issue https://github.com/mwaskom/seaborn/issues/578? Recording incase #578 won’t apply to barplots. Code as follows. Replacing orient=‘h’ works.

import pandas as pd
import seaborn as sns

plt.close('all')
zeros=90
nonzeros=10
df = pd.DataFrame({'zeros':[zeros], 'total':[zeros+nonzeros], 'label':['Zero']})
sns.set(font_scale=1, style='white')
sns.set_color_codes('pastel')
sns.barplot(x="total", y="label", data=df, orient='v',  label="Zero", color="b")

sns.set_color_codes('muted')
ax = sns.barplot(x="zeros", y="label", data=df, orient='v', label="Non-zero", color="b")

plt.show()

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-30-ba4f2d6ec1da> in <module>()
      8 sns.set(font_scale=1, style='white')
      9 sns.set_color_codes('pastel')
---> 10 sns.barplot(x="total", y="label", data=df, orient='v',  label="Zero", color="b")
     11 
     12 sns.set_color_codes('muted')

c:\Anaconda2\lib\site-packages\seaborn\categorical.pyc in barplot(x, y, hue, data, order, hue_order, estimator, ci, n_boot, units, orient, color, palette, saturation, errcolor, errwidth, capsize, ax, **kwargs)
   2897                           estimator, ci, n_boot, units,
   2898                           orient, color, palette, saturation,
-> 2899                           errcolor, errwidth, capsize)
   2900 
   2901     if ax is None:

c:\Anaconda2\lib\site-packages\seaborn\categorical.pyc in __init__(self, x, y, hue, data, order, hue_order, estimator, ci, n_boot, units, orient, color, palette, saturation, errcolor, errwidth, capsize)
   1543                                  order, hue_order, units)
   1544         self.establish_colors(color, palette, saturation)
-> 1545         self.estimate_statistic(estimator, ci, n_boot)
   1546 
   1547         self.errcolor = errcolor

c:\Anaconda2\lib\site-packages\seaborn\categorical.pyc in estimate_statistic(self, estimator, ci, n_boot)
   1438                     statistic.append(np.nan)
   1439                 else:
-> 1440                     statistic.append(estimator(stat_data))
   1441 
   1442                 # Get a confidence interval for this estimate

c:\Anaconda2\lib\site-packages\numpy\core\fromnumeric.pyc in mean(a, axis, dtype, out, keepdims)
   2940 
   2941     return _methods._mean(a, axis=axis, dtype=dtype,
-> 2942                             out=out, **kwargs)
   2943 
   2944 

c:\Anaconda2\lib\site-packages\numpy\core\_methods.pyc in _mean(a, axis, dtype, out, keepdims)
     70         ret = ret.dtype.type(ret / rcount)
     71     else:
---> 72         ret = ret / rcount
     73 
     74     return ret

TypeError: unsupported operand type(s) for /: 'str' and 'long'

[mwaskom]

If your y variable is categorical you can’t draw a vertical barplot.

[mmagnuski]

On a side note:

sr = pd.Series([1, 2, 3, np.nan], dtype=object)
pd.to_numeric(sr, errors='ignore').dtype

works, but probably not in all reasonable cases. So +1 on not doing any checks 😃